无法在Pandas中更改多种列类型？

如何解决无法在Pandas中更改多种列类型？

我正在尝试转换df中的列。 一个是日期列，另一个是字符串，整数和浮点数。

我的代码是：

$creative = [];
$styled   = [];

/* ... */

function getHitInfos($theHit)
{
    return [
      "url" => $theHit->thumbnailUrl,"name" => $theHit->metadata->baseName
    ];
}

function printResults($results,$title) {
    echo '<div>';
    echo '<h2>'.$title.'</h2>';

    foreach ($results as $key => $val) {
        echo "<img src='" . $val["url"] . "' alt='error'>";
        echo $val["name"]; 
    }
    echo '</div>';
}

foreach ($hits as $hit)
{
    $target  = $hit->metadata->baseName;
    $target1 = $hit->metadata->cf_imageType;

    echo '<div>';
    if(preg_match("/_cm/i",$target)) {
      $creative[] = getHitInfos($hit)
    }
    if(preg_match("/_SS/i",$target)) {
      $styled[] = getHitInfos($hit)
    }

    /* ... */
}

printResults($creative,"Creative");
printResults($styled,"Styled");

/* ... */

我收到以下错误：

TypeError：无法从中解释''作为数据类型

但是当我将Date列转换为日期时使用

import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeRegressor
from sklearn.metrics import mean_absolute_error
from sklearn.ensemble import RandomForestRegressor
import os
import xlrd
import datetime

pd.set_option('display.max_rows',5000)
pd.set_option('display.max_columns',500)
pd.set_option('display.width',1000)

df = pd.read_csv(
    r'C:\Users\harsh\Documents\My Dream\Desktop\Machine Learning\Attempt1\Historical Data\Concat_Cleaned.csv',skiprows=0)
convert_dict = {'League_Division': str,'Date': datetime,'HomeTeam': str,'AwayTeam': str,'Full_Time_Home_Goals': int,'Full_Time_Away_Goals': int,'Full_Time_Result': str,'Half_Time_Home_Goals': int,'Half_Time_Away_Goals': int,'Half_Time_Result': str,'Attendance': int,'Referee': str,'Home_Team_Shots': int,'Away_Team_Shots': int,'Home_Team_Shots_on_Target': int,'Away_Team_Shots_on_Target': int,'Home_Team_Hit_Woodwork': int,'Away_Team_Hit_Woodwork': int,'Home_Team_Corners': int,'Away_Team_Corners': int,'Home_Team_Fouls': int,'Away_Team_Fouls': int,'Home_Offsides': int,'Away_Offsides': int,'Home_Team_Yellow_Cards': int,'Away_Team_Yellow_Cards': int,'Home_Team_Red_Cards': int,'Away_Team_Red_Cards': int,'Home_Team_Bookings_Points': float,'Away_Team_Bookings_Points': float
                }

df = df.astype(convert_dict)

print(df.dtypes)

该列已转换，但是pandas删除了所有其他列。

我的数据也具有df = pd.to_datetime(df['Date']) 值。

我该如何解决？